Predictive Maintenance Implementation Manager (IC)

Job Description

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Boeing Vancouver is looking for a Predictive Maintenance Implementation Manager (IC) to help drive implementation and adoption of our Predictive Management Insight Accelerator suite of products. The position will be based from our Richmond, British Columbia office; however, a hybrid work style is offered, allowing the candidate to work both virtually and in the office (2-3 days on-site).

A successful candidate will be a self-starter who understands the importance of collaboration as this position will be responsible for deployment of our maintenance products for customers around the world. You will be responsible for:

Position Responsibilities:

• analyzing contractual implementation requirements for delivery of customer solution.
• supporting problem management and resolution through tactical and strategic insertions.
• Acts as a consultant for and coordinates with customer’s end users and Internal development organizations for both process and technical challenges during implementation.
• Onboard, train, and support airline customers to effectively use predictive maintenance tools and practices.
• Demonstrate exceptional customer-facing communication skills to engage with customers that are both technical and non-technical and can understand their needs.
• Collaborate with product, sales, and internal teams to be the voice of the customer, ensuring their feedback is provided to internal stakeholders and support teams.
• Analyze maintenance and flight data to identify trends, patterns, and insights that inform business strategies and operational improvements.
• Support the development of models that reduce unplanned maintenance events in the aerospace sector.
• Understand and communicate prognostic logic, explaining what the data indicates and why the alerts are worth deploying and monitoring.
• Chair regular meetings with customers to discuss progress, provide training, support, and guidance on predictive maintenance tools and practices.
• Create and present reports and dashboards that effectively communicate findings to stakeholders, including technical and non-technical audiences.
• Monitor industry trends, regulatory changes, and competitor activities to identify opportunities for growth and innovation.

This position is hybrid. This means that the selected candidate will be required to perform some work onsite in Richmond BC. This is at the hiring team’s discretion and could potentially change in the future.

Basic Qualifications (Required Skills/Experience):

• 10+ years of experience in the airline industry focused primarily in the maintenance field.
• Comprehensive understanding of aircraft systems and their operational functions.
• Experience analyzing or using aircraft maintenance manuals, Bill of Materials (BOM), and understanding aircraft and component configuration, modifications, and service bulletins.
• Strong understanding of commercial aviation maintenance programs and general knowledge of aviation regulatory requirements, such as the FAA, EASA, etc.
• Proven statistical and data analysis skills, with the ability to quickly learn and adapt to new tools and methodologies.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, etc.).
• Experience in project management and leading cross-functional teams.
• Must be legally able to work in Canada.
• Individual must not pose a risk for safeguarding of controlled goods.
• Must be eligible to handle US export-controlled data.

Preferred Qualifications (Desired Skills/Experience):

• Knowledge of predictive maintenance methodologies and tools specific to aerospace applications.
• Familiarity with data science and statistics concepts.
• Experience analyzing flight data to derive insights and inform maintenance strategies.
• Fleet type training or certification is a nice-to-have skill.
• An aircraft pilot's license or any flying experience is a plus.
• Familiarity with aerospace industry standards and regulations.
• Experience with machine learning techniques and predictive analytics.

Additional Information:

This requisition is for a locally hired position in Canada. The employer is Boeing Canada. Candidates must be legally authorized to work in Canada. Benefits and pay are determined by Canada and are not on Boeing US-based payroll. This is not an expatriate assignment.

Starting salary will be based on year of post-secondary education completed, qualifications and experience. Salary pays range - $85,000.00 - $152,000.00 CAD

Applications for this position will be accepted until Apr. 02, 2025

Relocation

Relocation assistance is not a negotiable benefit for this position.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.